mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
|
|
|
|
from typing import Literal
|
|
|
|
import cv2 as cv
|
|
import numpy
|
|
from PIL import Image, ImageOps
|
|
from pydantic import BaseModel, Field
|
|
|
|
from invokeai.app.models.image import ImageField, ImageType
|
|
from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig
|
|
from .image import ImageOutput
|
|
|
|
|
|
class CVInvocation(BaseModel):
|
|
"""Helper class to provide all OpenCV invocations with additional config"""
|
|
|
|
# Schema customisation
|
|
class Config(InvocationConfig):
|
|
schema_extra = {
|
|
"ui": {
|
|
"tags": ["cv", "image"],
|
|
},
|
|
}
|
|
|
|
|
|
class CvInpaintInvocation(BaseInvocation, CVInvocation):
|
|
"""Simple inpaint using opencv."""
|
|
#fmt: off
|
|
type: Literal["cv_inpaint"] = "cv_inpaint"
|
|
|
|
# Inputs
|
|
image: ImageField = Field(default=None, description="The image to inpaint")
|
|
mask: ImageField = Field(default=None, description="The mask to use when inpainting")
|
|
#fmt: on
|
|
|
|
def invoke(self, context: InvocationContext) -> ImageOutput:
|
|
image = context.services.images.get(
|
|
self.image.image_type, self.image.image_name
|
|
)
|
|
mask = context.services.images.get(self.mask.image_type, self.mask.image_name)
|
|
|
|
# Convert to cv image/mask
|
|
# TODO: consider making these utility functions
|
|
cv_image = cv.cvtColor(numpy.array(image.convert("RGB")), cv.COLOR_RGB2BGR)
|
|
cv_mask = numpy.array(ImageOps.invert(mask))
|
|
|
|
# Inpaint
|
|
cv_inpainted = cv.inpaint(cv_image, cv_mask, 3, cv.INPAINT_TELEA)
|
|
|
|
# Convert back to Pillow
|
|
# TODO: consider making a utility function
|
|
image_inpainted = Image.fromarray(cv.cvtColor(cv_inpainted, cv.COLOR_BGR2RGB))
|
|
|
|
image_type = ImageType.INTERMEDIATE
|
|
image_name = context.services.images.create_name(
|
|
context.graph_execution_state_id, self.id
|
|
)
|
|
context.services.images.save(image_type, image_name, image_inpainted)
|
|
return ImageOutput(
|
|
image=ImageField(image_type=image_type, image_name=image_name)
|
|
)
|